• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Microprocessors and microsystems >Semantic-based discovery method for high-performance computing resources in cyber-physical systems
【24h】

Semantic-based discovery method for high-performance computing resources in cyber-physical systems

机译：基于语义的网络 - 物理系统高性能计算资源的发现方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

High-performance computing (HPC) systems with powerful computing capabilities are becoming increasingly significant in the large-scale cyber-physical systems (CPS), helping CPS process a huge number of real-time data. Nowadays, the efficiency of HPC resource management and discovery becomes a challenging problem in CPS, due to the complex characteristics of HPC resources and the growing demands of the users. Although lots of recent efforts have been conducted to the resource discovery in distributed systems, they cannot be well adapted for the cross-regional HPC environments, due to the lack of unified model for the resources description and consideration for the usability demands of non-expert users. In this paper, we propose novel techniques to try to solve the problem. Specifically, we first propose a unified semantic model named HPCRO for specifying cross regional HPC resources, and apply ontology reasoning to obtain more semantic information for queries. Moreover, we propose a WordNet-based quick resource index list data structure called WQRIL to improve the query. Finally, according to the proposed model and data structure, we propose an efficient discovery method called ROLD for cross-regional HPC resources. Extensive experimental results demonstrate that, our proposals not only maintain efficient resource discovery performance, but also achieve the highest precision rate (94.76%), recall rate (92.34%) and F1-score (93.53%).
机译：具有强大的计算能力的高性能计算（HPC）系统在大型网络物理系统（CPS）中变得越来越重要，帮助CPS处理大量的实时数据。如今，由于HPC资源的复杂特征和用户需求不断增长，HPC资源管理和发现的效率成为CPS中的一个具有挑战性的问题。虽然最近的许多努力已经在分布式系统中进行了资源发现，但由于缺乏统一的资源描述和考虑非专家的可用性需求，它们不能很好地适应跨区域HPC环境。用户。在本文中，我们提出了新颖的技术来解决问题。具体来说，我们首先提出了一个名为HPCro的统一语义模型，用于指定跨区域HPC资源，并应用本体推理以获得更多的查询语义信息。此外，我们提出了一种基于Wordnet的快速资源索引列表，称为WQRIL以改善查询。最后，根据所提出的模型和数据结构，我们提出了一种有效的发现方法，称为跨区域HPC资源的Rold。广泛的实验结果表明，我们的建议不仅保持有效的资源发现性能，而且达到最高的精度（94.76％），召回率（92.34％）和F1分数（93.53％）。

著录项

  • 来源
    《Microprocessors and microsystems》 |2021年第2期|103328.1-103328.16|共16页
  • 作者

    Zhou Aolong; Ren Kaijun; Li Xiaoyong; Zhang Wen; Ren Xiaoli; Deng Kefeng;

  • 作者单位

    Natl Univ Def Technol Coll Meteorol & Oceanog Changsha Peoples R China|Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Changsha Peoples R China|Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Changsha Peoples R China|Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Changsha Peoples R China|Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Changsha Peoples R China|Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Changsha Peoples R China|Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cyber-physical system; High-performance computing; Ontology; Resource discovery;

    机译：网络物理系统;高性能计算;本体;资源发现;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号